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Challenges posed by and approaches to the study of seasonal-to-decadal climate variability

机译:研究季节到年代际气候变化的挑战和方法

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摘要

The tasks of providing multi-decadal climate projections and seasonal plus sub-seasonal climate predictions are of significant societal interest and pose major scientific challenges. An outline is presented of the challenges posed by, and the approaches adopted to, tracing the possible evolution of the climate system on these various time-scales. First an overview is provided of the nature of the climate system’s natural internal variations and the uncertainty arising from the complexity and non-linearity of the system. Thereafter consideration is given sequentially to the range of extant approaches adopted to study and derive multi-decadal climate projections, seasonal predictions, and significant sub-seasonal weather phenomena. For each of thesethree time-scales novel results are presented that indicate the nature (and limitations) of the models used to forecast the evolution, and illustrate the techniques adopted to reduce or cope with the forecast uncertainty. In particular, the contributions(i) appear to exemplify that in simple climate models uncertainties in radiative forcing outweigh uncertainties associated with ocean models, (ii) examine forecast skills for a state-of-the-art seasonal prediction system, and (iii) suggest that long-lived weather phenomena can help shape intra-seasonal climate variability. Finally, it is argued, that co-consideration of all these scales can enhance our understanding of the challenges associated with uncertainties in climate prediction.
机译:提供多年代际气候预测以及季节和次季节以下气候预测的任务具有重大的社会意义,并提出了重大的科学挑战。概述了在这些不同的时间尺度上追踪气候系统可能演变所带来的挑战和采用的方法。首先,概述了气候系统自然内部变化的性质以及系统复杂性和非线性所带来的不确定性。此后,依次考虑用于研究和推导多年代际气候预测,季节预测和重大次季节天气现象的现有方法的范围。对于这三个时标中的每一个,都提出了新颖的结果,这些结果表明了用于预测演化的模型的性质(和局限性),并说明了减少或应对预测不确定性所采用的技术。特别是,这些贡献(i)似乎表明,在简单的气候模型中,辐射强迫中的不确定性胜过与海洋模型相关的不确定性;(ii)研究了最新季节预测系统的预测技巧,以及(iii)表明长期的天气现象可以帮助塑造季节内的气候变化。最后,有人认为,所有这些尺度的共同考虑可以增进我们对与气候预测不确定性相关的挑战的理解。

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